AI‑Driven Biomarker Discovery from Wearables in Neuropsychiatric Research
Application of artificial intelligence (AI) and wearable device data to the identification of neuropsychiatric biomarkers, with a focus on attention-deficit hyperactivity disorder (ADHD) and anxiety disorders.
Mark Gerstein, PhD
This piece explores how artificial intelligence and wearable devices are reshaping the search for objective biomarkers in psychiatry—especially for conditions like ADHD and anxiety. Instead of relying solely on clinic visits and questionnaires, AI can sift through continuous streams of heart rate, activity, sleep, and other sensor data to identify subtle patterns that signal risk, diagnosis, or symptom change.
The article highlights:
How “digital phenotyping” turns everyday wearable data into measurable markers of behaviour and physiology
New methods that repurpose genome‑wide association study (GWAS) tools to link wearable‑derived digital biomarkers with neuropsychiatric conditions
Early evidence that AI models built on wearable data can improve detection and tracking of disorders such as ADHD and anxiety, and open the door to more precise, passive monitoring in real‑world settings
Link to page:
AI‑Driven Biomarker Discovery from Wearables
Link to video